6 citations · 17 across the 6 of their papers we have counts for
5 papers · 1 filter
Variational Learning with Disentanglement-PyTorch
Amir H. Abdi, Purang Abolmaesumi, Sidney Fels
Unsupervised learning of disentangled representations is an open problem in machine learning. The Disentanglement-PyTorch library is developed to facilitate research, implementatio…
A Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics
Amir H. Abdi, Purang Abolmaesumi, Sidney Fels
Disentangled encoding is an important step towards a better representation learning. However, despite the numerous efforts, there still is no clear winner that captures the indepen…
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment
Zhibin Liao, Hany Girgis, Amir Abdi +6
Uncertainty of labels in clinical data resulting from intra-observer variability can have direct impact on the reliability of assessments made by deep neural networks. In this pape…
Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery
Amir H. Abdi, Mehran Pesteie, Eitan Prisman +2
The premorbid geometry of the mandible is of significant relevance in jaw reconstructive surgeries and occasionally unknown to the surgical team. In this paper, an optimization fra…
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning
Amir H. Abdi, Pramit Saha, Praneeth Srungarapu +1
Motor control is a set of time-varying muscle excitations which generate desired motions for a biomechanical system. Muscle excitations cannot be directly measured from live subjec…